save_memory
Save information to long-term semantic memory with automatic tagging and categorization. Best practice: set an active project first with set_active_project to keep memories organized and avoid context mixing. If not using active project, you must provide a project parameter. Tags are optional — w...
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What save_memory does on Cognio
AI agents use save_memory to create or update resources in Cognio, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Cognio environment.
Why save_memory is rated Medium
This tool creates and stores new memory records in a persistent database. Although the action is theoretically reversible via delete_memory, the primary function is data creation/modification rather than deletion.
From the tool's definition The tool description states it will "Save information to long-term semantic memory", using the verb "save" which creates or modifies data.
Attacks that exploit this kind of access
The rule that runs save_memory safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Cognio, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For save_memory, this is the rule to start with:
save_memory stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Cognio, apply this rule, and every save_memory call is checked against it from then on.
Questions about save_memory
Save information to long-term semantic memory with automatic tagging and categorization. Best practice: set an active project first with set_active_project to keep memories organized and avoid context mixing. If not using active project, you must provide a project parameter. Tags are optional — when auto-tagging is enabled and configured, tags will be generated automatically if not provided. It is categorised as a Write tool in the Cognio MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Cognio MCP server in PolicyLayer and add a rule for save_memory: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Cognio. Nothing to install.
save_memory is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the save_memory rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for save_memory. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
save_memory is provided by the Cognio MCP server (0xrelogic/cognio). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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